WO2011067788A3 - A cost effective and robust system and method for eye tracking and driver drowsiness identification - Google Patents
A cost effective and robust system and method for eye tracking and driver drowsiness identification Download PDFInfo
- Publication number
- WO2011067788A3 WO2011067788A3 PCT/IN2010/000781 IN2010000781W WO2011067788A3 WO 2011067788 A3 WO2011067788 A3 WO 2011067788A3 IN 2010000781 W IN2010000781 W IN 2010000781W WO 2011067788 A3 WO2011067788 A3 WO 2011067788A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- histogram
- target
- eyes
- tracking
- model histogram
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/113—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining or recording eye movement
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/163—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state by tracking eye movement, gaze, or pupil change
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/013—Eye tracking input arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Ophthalmology & Optometry (AREA)
- Multimedia (AREA)
- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Biophysics (AREA)
- Veterinary Medicine (AREA)
- General Engineering & Computer Science (AREA)
- Hospice & Palliative Care (AREA)
- Developmental Disabilities (AREA)
- Psychiatry (AREA)
- Social Psychology (AREA)
- Psychology (AREA)
- Child & Adolescent Psychology (AREA)
- Educational Technology (AREA)
- Pathology (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Traffic Control Systems (AREA)
- Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)
- Emergency Alarm Devices (AREA)
Abstract
A cost-effective and robust method for localizing and tracking drowsiness state of the eyes of driver by using images captured by near infrared camera disposed on the vehicle, the said method comprising the processor implemented steps of: Real-time tracking of the face and localizing eye bounding box within the face bounding box in the captured image by comparing the gray values with threshold using the segmentation process; tracking the eyes by computing centroid of the eye, target model histogram and target candidate model histogram for one location to another by comparing them to identify distance and calculating the displacement of the target centre by weighted means, wherein the target model histogram and target candidate model histogram are computed based on the feature space; and detecting the drowsiness state of the eyes using histogram equalization, Morphological operations and texture based parameters using histogram and grey level co-occurrence matrices.
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP10822865.1A EP2507742A2 (en) | 2009-12-02 | 2010-12-02 | A cost effective and robust system and method for eye tracking and driver drowsiness identification |
JP2012541628A JP5680667B2 (en) | 2009-12-02 | 2010-12-02 | System and method for identifying driver wakefulness |
CN201080059278.6A CN102696041B (en) | 2009-12-02 | 2010-12-02 | The system and method that the cost benefit confirmed for eye tracking and driver drowsiness is high and sane |
US13/513,495 US9483695B2 (en) | 2009-12-02 | 2010-12-02 | Cost effective and robust system and method for eye tracking and driver drowsiness identification |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IN2784MU2009 | 2009-12-02 | ||
IN2784/MUM/2009 | 2009-12-02 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2011067788A2 WO2011067788A2 (en) | 2011-06-09 |
WO2011067788A3 true WO2011067788A3 (en) | 2011-10-06 |
Family
ID=44115374
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IN2010/000781 WO2011067788A2 (en) | 2009-12-02 | 2010-12-02 | A cost effective and robust system and method for eye tracking and driver drowsiness identification |
Country Status (5)
Country | Link |
---|---|
US (1) | US9483695B2 (en) |
EP (1) | EP2507742A2 (en) |
JP (1) | JP5680667B2 (en) |
CN (1) | CN102696041B (en) |
WO (1) | WO2011067788A2 (en) |
Families Citing this family (34)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9460601B2 (en) * | 2009-09-20 | 2016-10-04 | Tibet MIMAR | Driver distraction and drowsiness warning and sleepiness reduction for accident avoidance |
US10922567B2 (en) | 2010-06-07 | 2021-02-16 | Affectiva, Inc. | Cognitive state based vehicle manipulation using near-infrared image processing |
KR101046677B1 (en) * | 2011-03-15 | 2011-07-06 | 동국대학교 산학협력단 | Methods for tracking position of eyes and medical head lamp using thereof |
EP2827761A4 (en) | 2012-03-22 | 2015-11-04 | Univ Missouri | Device to measure pupillary light reflex in infants and toddlers |
US9050035B2 (en) | 2012-03-22 | 2015-06-09 | The Curators Of The University Of Missouri | Device to measure pupillary light reflex in infants and toddlers |
CN103411535B (en) * | 2013-08-07 | 2015-08-05 | 北京信息科技大学 | A kind of Changeable weight picture point localization method for retro-reflective target |
CN103955695B (en) * | 2013-11-27 | 2017-07-07 | 苏州清研微视电子科技有限公司 | The method that computer is based on human eye state in gray level co-occurrence matrixes energy variation Intelligent Recognition video |
JP6442942B2 (en) * | 2014-09-11 | 2018-12-26 | 株式会社デンソー | Driver status determination device |
EP3040726A1 (en) * | 2014-12-29 | 2016-07-06 | General Electric Company | Method and system to determine vehicle speed |
US10984237B2 (en) * | 2016-11-10 | 2021-04-20 | Neurotrack Technologies, Inc. | Method and system for correlating an image capturing device to a human user for analyzing gaze information associated with cognitive performance |
EP3562394B1 (en) * | 2016-12-28 | 2023-07-26 | Ficosa Adas, S.L.U. | Respiratory signal extraction |
US10290158B2 (en) * | 2017-02-03 | 2019-05-14 | Ford Global Technologies, Llc | System and method for assessing the interior of an autonomous vehicle |
US10121084B2 (en) * | 2017-03-07 | 2018-11-06 | Wipro Limited | Method and a system for detecting drowsiness state of a vehicle user |
US10509974B2 (en) | 2017-04-21 | 2019-12-17 | Ford Global Technologies, Llc | Stain and trash detection systems and methods |
US10304165B2 (en) | 2017-05-12 | 2019-05-28 | Ford Global Technologies, Llc | Vehicle stain and trash detection systems and methods |
US20190012552A1 (en) * | 2017-07-06 | 2019-01-10 | Yves Lambert | Hidden driver monitoring |
TWI647666B (en) * | 2017-08-28 | 2019-01-11 | 緯創資通股份有限公司 | Drowsiness detection apparatus and drowsiness detection method thereof |
CN107977623A (en) * | 2017-11-30 | 2018-05-01 | 睿视智觉(深圳)算法技术有限公司 | A kind of robustness human eye state determination methods |
US10943092B2 (en) | 2018-05-23 | 2021-03-09 | ClairLabs Ltd. | Monitoring system |
CN109086740B (en) * | 2018-08-25 | 2019-08-23 | 上海首安工程技术有限公司 | Stagewise ferry safety check mechanism |
CN109584303B (en) * | 2018-12-03 | 2023-04-14 | 电子科技大学 | Infrared weak and small target detection method based on Lp norm and nuclear norm |
US11200438B2 (en) | 2018-12-07 | 2021-12-14 | Dus Operating Inc. | Sequential training method for heterogeneous convolutional neural network |
CN109886780B (en) * | 2019-01-31 | 2022-04-08 | 苏州经贸职业技术学院 | Commodity target detection method and device based on eyeball tracking |
US11068069B2 (en) * | 2019-02-04 | 2021-07-20 | Dus Operating Inc. | Vehicle control with facial and gesture recognition using a convolutional neural network |
CN110264670A (en) * | 2019-06-24 | 2019-09-20 | 广州鹰瞰信息科技有限公司 | Based on passenger stock tired driver driving condition analytical equipment |
CN110400274B (en) * | 2019-07-19 | 2022-02-15 | 西安科技大学 | Infrared image enhancement method for vehicle-mounted infrared pedestrian detection |
EP4033961A1 (en) * | 2019-09-27 | 2022-08-03 | Alcon Inc. | Patient-induced trigger of a measurement for ophthalmic diagnostic devices |
CN112764524A (en) * | 2019-11-05 | 2021-05-07 | 沈阳智能机器人国家研究院有限公司 | Myoelectric signal gesture action recognition method based on texture features |
WO2021156989A1 (en) * | 2020-02-06 | 2021-08-12 | 三菱電機株式会社 | Sign sensing device, operation assistance control device, and sign sensing method |
CN113807126B (en) * | 2020-06-12 | 2024-07-16 | 广州汽车集团股份有限公司 | Fatigue driving detection method and system, computer equipment and storage medium thereof |
JP7048997B2 (en) * | 2020-06-26 | 2022-04-06 | みこらった株式会社 | Programs for self-driving cars and self-driving cars |
US11763595B2 (en) * | 2020-08-27 | 2023-09-19 | Sensormatic Electronics, LLC | Method and system for identifying, tracking, and collecting data on a person of interest |
US11861916B2 (en) * | 2021-10-05 | 2024-01-02 | Yazaki Corporation | Driver alertness monitoring system |
CN114758403B (en) * | 2022-06-10 | 2022-09-13 | 武汉憬然智能技术有限公司 | Intelligent analysis method and device for fatigue driving |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6717518B1 (en) * | 1998-01-15 | 2004-04-06 | Holding B.E.V.S.A. | Method and apparatus for detection of drowsiness |
EP1867281A1 (en) * | 2006-06-13 | 2007-12-19 | Delphi Technologies, Inc. | Improved dynamic eye tracking system |
Family Cites Families (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5345281A (en) | 1992-12-17 | 1994-09-06 | John Taboada | Eye tracking system and method |
US5481622A (en) * | 1994-03-01 | 1996-01-02 | Rensselaer Polytechnic Institute | Eye tracking apparatus and method employing grayscale threshold values |
US5689241A (en) | 1995-04-24 | 1997-11-18 | Clarke, Sr.; James Russell | Sleep detection and driver alert apparatus |
JPH1086696A (en) * | 1996-09-13 | 1998-04-07 | Toyota Motor Corp | Method for detecting characteristic part in face image |
US6283954B1 (en) | 1998-04-21 | 2001-09-04 | Visx, Incorporated | Linear array eye tracker |
US5900819A (en) | 1998-04-21 | 1999-05-04 | Meritor Heavy Vehicle Systems, Llc | Drowsy driver detection system |
JP2003006654A (en) * | 2001-06-20 | 2003-01-10 | Nippon Telegr & Teleph Corp <Ntt> | Method and device for extracting feature amount of moving object in moving image and method and device for automatically tracking moving object in moving image, program for executing the method and recording medium with the program recorded thereon |
US6927694B1 (en) | 2001-08-20 | 2005-08-09 | Research Foundation Of The University Of Central Florida | Algorithm for monitoring head/eye motion for driver alertness with one camera |
US7130446B2 (en) | 2001-12-03 | 2006-10-31 | Microsoft Corporation | Automatic detection and tracking of multiple individuals using multiple cues |
CN1275185C (en) * | 2002-06-30 | 2006-09-13 | 贺贵明 | Driver's face image identification and alarm device and method |
JP2004356683A (en) * | 2003-05-27 | 2004-12-16 | Fuji Photo Film Co Ltd | Image management system |
US7430315B2 (en) * | 2004-02-13 | 2008-09-30 | Honda Motor Co. | Face recognition system |
US7362885B2 (en) | 2004-04-20 | 2008-04-22 | Delphi Technologies, Inc. | Object tracking and eye state identification method |
JP4501003B2 (en) * | 2005-07-15 | 2010-07-14 | 国立大学法人静岡大学 | Face posture detection system |
US8265392B2 (en) * | 2006-02-07 | 2012-09-11 | Qualcomm Incorporated | Inter-mode region-of-interest video object segmentation |
JP4895874B2 (en) * | 2007-03-15 | 2012-03-14 | アイシン精機株式会社 | Eye state determination device, eye state determination method, and eye state determination program |
JP4307496B2 (en) * | 2007-03-19 | 2009-08-05 | 株式会社豊田中央研究所 | Facial part detection device and program |
JP4898532B2 (en) | 2007-04-13 | 2012-03-14 | 富士フイルム株式会社 | Image processing apparatus, photographing system, blink state detection method, blink state detection program, and recording medium on which the program is recorded |
CN101375796B (en) * | 2008-09-18 | 2010-06-02 | 浙江工业大学 | Real-time detection system of fatigue driving |
-
2010
- 2010-12-02 EP EP10822865.1A patent/EP2507742A2/en not_active Withdrawn
- 2010-12-02 US US13/513,495 patent/US9483695B2/en active Active
- 2010-12-02 WO PCT/IN2010/000781 patent/WO2011067788A2/en active Application Filing
- 2010-12-02 CN CN201080059278.6A patent/CN102696041B/en active Active
- 2010-12-02 JP JP2012541628A patent/JP5680667B2/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6717518B1 (en) * | 1998-01-15 | 2004-04-06 | Holding B.E.V.S.A. | Method and apparatus for detection of drowsiness |
EP1867281A1 (en) * | 2006-06-13 | 2007-12-19 | Delphi Technologies, Inc. | Improved dynamic eye tracking system |
Non-Patent Citations (2)
Title |
---|
TABRIZI P R ET AL: "Open/Closed Eye Analysis for Drowsiness Detection", IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS, 2008. IPTA 2008. FIRST WORKSHOPS ON, IEEE, PISCATAWAY, NJ, USA, 23 November 2008 (2008-11-23), pages 1 - 7, XP031404056, ISBN: 978-1-4244-3321-6 * |
TOCK, D. AND CRAW, I.: "Blink Rate Monitoring for a Driver Awareness System", PROCEEDINGS OF THE BRITISH MACHINE VISION CONFERENCE (BMVC), 1992, XP002651999, Retrieved from the Internet <URL:http://www.bmva.org/bmvc/1992/bmvc-92-054.pdf> [retrieved on 20110721] * |
Also Published As
Publication number | Publication date |
---|---|
US9483695B2 (en) | 2016-11-01 |
WO2011067788A2 (en) | 2011-06-09 |
US20130010096A1 (en) | 2013-01-10 |
CN102696041A (en) | 2012-09-26 |
CN102696041B (en) | 2016-03-02 |
JP5680667B2 (en) | 2015-03-04 |
EP2507742A2 (en) | 2012-10-10 |
JP2013513155A (en) | 2013-04-18 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2011067788A3 (en) | A cost effective and robust system and method for eye tracking and driver drowsiness identification | |
US11643076B2 (en) | Forward collision control method and apparatus, electronic device, program, and medium | |
US9607227B2 (en) | Boundary detection apparatus and boundary detection method | |
Ikemura et al. | Real-time human detection using relational depth similarity features | |
CA2775757C (en) | Method of processing body inspection image and body inspection apparatus | |
CN105460009B (en) | Automobile control method and device | |
CN102930334B (en) | Video recognition counter for body silhouette | |
CN109334563A (en) | A kind of anticollision method for early warning based on road ahead pedestrian and bicyclist | |
CN111553214B (en) | Method and system for detecting smoking behavior of driver | |
CN103902985B (en) | High-robustness real-time lane detection algorithm based on ROI | |
CN106919895B (en) | Tracking method and system for moving object | |
Bhujbal et al. | Lane departure warning system based on Hough transform and Euclidean distance | |
CN105469054B (en) | The model building method of normal behaviour and the detection method of abnormal behaviour | |
US20150161447A1 (en) | Vision based pedestrian and cyclist detection method | |
CN105740751A (en) | Object detection and identification method and system | |
CN102201120A (en) | Multifeature-based target object contour detection method | |
CN105354856A (en) | Human matching and positioning method and system based on MSER and ORB | |
CN106881716A (en) | Human body follower method and system based on 3D cameras robot | |
Chang et al. | An efficient method for lane-mark extraction in complex conditions | |
CN108021849B (en) | Pedestrian early warning method and device | |
CN107133600A (en) | A kind of real-time lane line detection method based on intra-frame trunk | |
CN108596057A (en) | A kind of Information Security Management System based on recognition of face | |
Lin et al. | A vision-based obstacle detection system for parking assistance | |
Cheng et al. | Vehicle tracking in daytime and nighttime traffic surveillance videos | |
CN106339666B (en) | A kind of night monitoring method of human body target |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 10822865 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2012541628 Country of ref document: JP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2010822865 Country of ref document: EP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 13513495 Country of ref document: US |
|
NENP | Non-entry into the national phase |
Ref country code: DE |